data engineer Remote
Job description
Description
The Public Health Portfolio of Leidos is seeking a Azure Data Engineer in Atlanta, GA to support the CDC OCIO Cloud Modernization program.
This CDC OCIO Cloud Modernization program assists the CDC in migrating over 400 applications from on-premises to cloud solutions.
The Azure Data Engineer is a key asset in the design, development, and deployment of cloud-based solutions.
Key Responsibilities:
The Azure Data Engineer will:
- Apply technical knowledge and experience on scrum teams to develop cloud data solutions that meet business and IT needs, that may be used to create cloud data processing models.
- May leverage technologies to modernize data architecture using monitoring, performance data architecture, migration of data/Database
Requirements:
BS degree and 5 years of prior relevant experience OR 9+ years of prior relevant experience with no degree.
- 2 or more years of experience working with cloud native technologies (Azure or AWS)
- 3 years of Data Engineering Experience
- Strong programming and/or scripting experience with back-end languages such as Python, Java, .NET, C# etc.
- Experience with developing ETL pipelines in one or more of the following tools: Azure Data factory, Event hubs, Event grid, Azure functions, Data Flow, Hadoop, AWS Glue
- Experience with Databricks and/or Spark.
- Experience working in/with Agile development teams
Preferred:
- Experience with technologies such as CosmoDB, AzureSQL, Redis, Synapse
- Experience with orchestration tool such as Airflow or Oozie
- Strong experience with SQL
- Experience with Kotlin’
- Experience with migrations to major cloud
- Knowledge with Public health/health care data (HL7, FHIR, vocabulary, and HHS data standards)
- Certification: AWS Certified Solution Architect- Associate, Azure Data Engineer Associate, Databrick Certified Data Engineer Associate
Ability to Obtain NACI clearance
hhscdc
Pay Range:
Pay Range $78,000.00 - $120,000.00 - $162,000.00The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
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